GNGTS 2018 - 37° Convegno Nazionale

304 GNGTS 2018 S essione 2.1 in relation to a standard behaviour of the parameter itself which has to be pre-calculated for each specific observational condition (place, time, sensor, etc.). Thanks to its full exportability on different satellite packages, the RST methodology has been implemented, for the first time in this work, to TEC measurements recorded by the GPS satellite constellation, in order to discriminate anomalous signals from normal fluctuations of the signal itself. In this paper, more than six years (since 2003 up to 2009) of TEC anomaly fluctuations - generated by applying the RST approach over Italy at the time of the Abruzzo earthquake (6 April 2009 Mw 6.3) have been analyzed and faced looking for possible relations of persistent space-time anomalous transients with local seismic patterns and/or major (single) seismic events. Achieved results will be discussed and faced with TIR anomalies detected in the same period by using independent RST analyses carried out over the Italian peninsula on three different satellite sensors: MSG/SEVIRI (Meteosat Second Generation/Spinning Enhanced Visible and Infrared Imager, by Genzano et al. , 2009, Lisi et al. , 2015), NOAA/AVHRR (National Oceanic and Atmospheric Administration/ Advanced Very High Resolution Radiometer, by Lisi et al. , 2010) and EOS/MODIS (Earth Observing System/ Moderate Resolution Imaging Spectroradiometer, by Pergola et al. , 2010). Results achieved, and particularly the rate of false positives registered on the whole long testing period, will be discussed to qualify TEC anomalies (identified by the RST TEC approach) and the impact of the joint use of both parameters (TIR and TEC) in the framework of a multi- parametric approach to time-Dependent Assessment of Seismic Hazard (t-DASH). References Genzano N., Aliano C., Corrado R., Filizzola C., Lisi M., Mazzeo G., Paciello R., Pergola N. and Tramutoli V.; 2009: RST analysis of MSG-SEVIRI TIR radiances at the time of the Abruzzo 6 April 2009 earthquake . Natural Hazards and Earth System Sciences, 9 , pp. 2073–2084. Li M. and Parrot M.; 2013: Statistical analysis of an ionospheric parameter as a base for earthquake prediction . J Geophys Res Sp Phys 118 : pp. 3731–3739. doi:10.1002/jgra.50313. Lisi M., Filizzola C., Genzano N., Grimaldi C. S. L., Lacava T., Marchese F., Mazzeo G., Pergola N. and Tramutoli V.; 2010: A study on the Abruzzo 6 April 2009 earthquake by applying the RST approach to 15 years of AVHRR TIR observations . Natural Hazards and Earth System Sciences, 10 , pp. 395–406. Lisi M., Filizzola C., Genzano N., Paciello R., Pergola N., and Tramutoli V.; 2015: Reducing atmospheric noise in RST analysis of TIR satellite radiances for earthquakes prone areas satellite monitoring . Physics and Chemistry of the Earth, Parts A/B/C, vol. 85 – 86 , pp. 87-97. Doi: 10.1016/j.pce.2015.07.013. Liu J.Y., Chen Y.I., Chuo Y.J. and Chen C.S., 2006: A statistical investigation of preearthquake ionospheric anomaly . J Geophys Res 111:A05304. doi:10.1029/2005JA011333. Pergola N., Aliano C., Coviello I., Filizzola C., Genzano N., Lacava T., Lisi M., Mazzeo G. and Tramutoli V.; 2010: Using RST approach and EOS-MODIS radiances for monitoring seismically active regions: a study on the 6 April 2009 Abruzzo earthquake . Natural Hazards and Earth System Sciences, 10 , pp.239–249. Tramutoli V.; 1998: Robust AVHRR Techniques (RAT) for environmental monitoring: theory and applications . Cecchi G. and Zilioli E. (eds), Proc. SPIE, Earth Surf. Remote Sens. II, Barcelona, Spain, Vol. 3496 , pp. 101-113. Tramutoli V.; 2005: Robust Satellite Techniques (RST) for natural and environmental hazards monitoring and mitigation: ten years of successful applications . Proc. 9 th Int. Symp. Phys. Meas. Signatures Remote Sens., Beijing, China, XXXVI, pp. 792-795. Tramutoli V.; 2007: Robust Satellite Techniques (RST) for natural and environmental hazards monitoring and mitigation: theory and applications . Proc. Int. Workshop Anal. Multi-Temporal Remote Sens. Images (MULTITEMP), Louven, Belgium, pp. 1-6.